The Perfect Summary Podcast
Every summary, narrated: the GIST of great conversations and books in minutes, so you can decide if you want the REST.
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Pick as many as you like: any of them matches within a group.
Criminal psychologist Julia Shaw on why nobody is born evil, what really drives murder, how false memories form, and green crime.
Snowboarder Chloe Kim on competing with a dislocating shoulder, her father's all-in bet, therapy, a new ADHD diagnosis and self-worth.
Marc Brackett explains what emotion regulation really is, why no emotion is bad, and tools like the Meta-Moment and precise labeling.
John Hopfield explains associative memory, why feedback and collective behavior matter, and what biology does that AI still ignores.
Philosopher Nick Bostrom walks through the simulation argument step by step, then turns to the promise and risk of superintelligent AI.
Richard Dawkins on why evolution is wasteful yet brilliant, how memes spread, where morals come from, and why even a simulator needs explaining.
Filmmaker Alex Garland on truly alien aliens, Ava's smile in Ex Machina, Silicon Valley's veneer of virtue, and a universe without free will.
Howie Mandel tells Joe Rogan how a dare made him a comic, how he copes with OCD and depression, and why he embraces AI while Rogan worries.
John Wick director Chad Stahelski explains how the franchise was built, from stunts, dogs and gun work to editing, and what AI may mean for film.
Jitendra Malik explains why vision is hard, why self-driving is far off, and why AI should learn the way children do.
OpenAI's Ilya Sutskever explains why deep learning keeps exceeding expectations, what GPT-2 shows, and how AGI should be built and governed.
Stephen Wolfram explains why simple rules produce endless complexity, and how that idea drives his hunt for the rule behind physics.
Bioinformatics professor Dmitry Korkin explains how his lab modeled the new coronavirus's proteins and what that reveals for drugs and vaccines.
Ms. Pat tells Joe Rogan how she turned a brutal childhood into a hit sitcom, a tour and a family, with plenty of jokes along the way.
Joscha Bach tells Lex Fridman why the self is a story the brain tells itself, what consciousness is for, and why civilization may not last.
Turing Award winner David Patterson on why simple instruction sets won, open RISC-V, Moore's law slowing, machine learning chips, RAID, and teaching.
Ben Goertzel on where the term AGI came from, his OpenCog design, decentralized AI, the truth about Sophia the robot, and why death is bad.
Marcus Hutter explains AIXI, his mathematical model of perfect intelligence, and why compression, understanding and prediction are one.
Brian Kernighan recalls how UNIX and C took shape at Bell Labs, why AWK endures, and how he sees programming languages, AI, and computing today.
Turing Award winner Richard Karp explains P vs NP, NP-completeness, randomized algorithms, and why he doubts machines will match human intelligence.
Berkeley's Sergey Levine explains why robot minds lag robot bodies, how reinforcement learning works, and what it will take for machines to keep improving.
Lex Fridman maps eight long-term futures for Neuralink, from easing suffering and telepathy to saved memories and merging with AI.
Daphne Koller on using stem cells and machine learning to find new drugs, lessons from Coursera, and why AI must know when it is unsure.
Michael Shellenberger unpacks the Twitter Files, government-backed censorship, COVID, AI, nuclear power and why he stays hopeful.
Minds founder Bill Ottman and Joe Rogan on decentralized social media, censorship laws, open source AI, Neuralink and UFOs.
Andrew Ng on the first MOOCs, betting on scale at Google Brain, learning deep learning, and bringing AI into factories.
Navy pilot David Fravor recounts chasing the 2004 Tic Tac UFO, answers debunkers, and shares lessons from 18 years of flying fighters.
Physicist Michio Kaku explains how quantum computers could remake medicine, AI and the world economy, and what comes after.
Marc Andreessen tells Joe Rogan the real AI danger is censorship and regulatory capture, not killer robots, and makes the case for open source.
Jack Dorsey on how Square widened access to the economy, why the internet needs Bitcoin, AI risks, UBI, fasting and mortality.